Next week, on December 9, Red Hat will be presenting two different talks about the usage of Red Hat OpenShift to run AI/ML workloads. From 12:30 to 1 ET, December 9, Abhinav Joshi, Red Hat's Director of AI Strategy and GTM will be discussing how users can get up to speed quickly with their AI/ML workflow using the open hybrid cloud.
At 2:15, ET, December 9, Red Hat's Marius Bogoevici, Director, Chief Architect for Financial Services, will discuss the value of AI for delivery results to financial institutions. His talk will also discuss:
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Adopting end-to-end workflows that seamlessly apply machine learning as a business value multiplier in areas such customer experience, fighting financial crime, or risk assessment.
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Applying cloud-native technologies to accelerate the implementation of machine learning processes and reduce operational overhead.
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Adopting a hybrid cloud strategy for reliability and scalability, while meeting security and regulatory compliance requirements .
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Jump-starting analytics work by combining cloud-scale deployments with the freedom of on-demand, scalable and secure analytics environments.
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